Maintenance optimization for a single wind turbine component under time-varying costs

Thijs Nicolaas Schouten; Rommert Dekker; Mustafa Hekimoğlu; Ayse Sena Eruguz

doi:10.1016/j.ejor.2021.09.004

Maintenance optimization for a single wind turbine component under time-varying costs

Thijs Nicolaas Schouten, Rommert Dekker^*, Mustafa Hekimoğlu, Ayse Sena Eruguz

^*Corresponding author for this work

Econometrics

Research output: Contribution to journal › Article › Academic › peer-review

20 Citations (Scopus)

Abstract

In this paper, we introduce a new, single-component model for maintenance optimization under time-varying costs, specifically oriented at offshore wind turbine maintenance. We extend the standard age replacement policy (ARP), block replacement policy (BRP) and modified block replacement policy (MBRP) to address time-varying costs. We prove that an optimal maintenance policy under time-varying costs is a time-dependent ARP policy. Via a discretization of time, the optimal time-dependent ARP can be found using a linear programming formulation. We also present mixed integer linear programming models for parameter optimization of BRP and MBRP. We present a business case and apply our policies for maintenance planning of a wind turbine gearbox and show that we can achieve savings up-to 23%.

Original language	English
Pages (from-to)	979-991
Number of pages	13
Journal	European Journal of Operational Research
Volume	300
Issue number	3
DOIs	https://doi.org/10.1016/j.ejor.2021.09.004
Publication status	Published - 1 Aug 2022

Bibliographical note

Funding Information:
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. We thank the referees and the editor for their useful comments.

Publisher Copyright:
© 2021 The Author(s)

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10.1016/j.ejor.2021.09.004Licence: CC BY

Cite this

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title = "Maintenance optimization for a single wind turbine component under time-varying costs",

abstract = "In this paper, we introduce a new, single-component model for maintenance optimization under time-varying costs, specifically oriented at offshore wind turbine maintenance. We extend the standard age replacement policy (ARP), block replacement policy (BRP) and modified block replacement policy (MBRP) to address time-varying costs. We prove that an optimal maintenance policy under time-varying costs is a time-dependent ARP policy. Via a discretization of time, the optimal time-dependent ARP can be found using a linear programming formulation. We also present mixed integer linear programming models for parameter optimization of BRP and MBRP. We present a business case and apply our policies for maintenance planning of a wind turbine gearbox and show that we can achieve savings up-to 23%.",

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AU - Schouten, Thijs Nicolaas

AU - Dekker, Rommert

AU - Hekimoğlu, Mustafa

AU - Eruguz, Ayse Sena

N1 - Funding Information: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. We thank the referees and the editor for their useful comments. Publisher Copyright: © 2021 The Author(s)

PY - 2022/8/1

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AB - In this paper, we introduce a new, single-component model for maintenance optimization under time-varying costs, specifically oriented at offshore wind turbine maintenance. We extend the standard age replacement policy (ARP), block replacement policy (BRP) and modified block replacement policy (MBRP) to address time-varying costs. We prove that an optimal maintenance policy under time-varying costs is a time-dependent ARP policy. Via a discretization of time, the optimal time-dependent ARP can be found using a linear programming formulation. We also present mixed integer linear programming models for parameter optimization of BRP and MBRP. We present a business case and apply our policies for maintenance planning of a wind turbine gearbox and show that we can achieve savings up-to 23%.

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Maintenance optimization for a single wind turbine component under time-varying costs

Abstract

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